Key Responsibilities
Lead the product strategy, roadmap, and lifecycle management for a unified AI platform converging MLOps, Generative AI, and Agentic AI capabilities.
Translate emerging AI technologies, model advancements, and business demand into prioritized platform investments and delivery plans.
Drive developer experience as a product, creating self-service experiences, golden paths, reusable templates, SDKs, APIs, and onboarding journeys.
Define platform success metrics including adoption, platform reliability, time-to-first-model, developer productivity, and business outcomes.
Partner with data science, engineering, security, architecture, compliance, and business leaders to align platform capabilities with enterprise priorities.
Guide product decisions across the AI lifecycle, including model development, evaluation, deployment, governance, monitoring, optimization, and cost management.
Drive platform governance, responsible AI practices, compliance requirements, and operational excellence.
Influence strategic technology partnerships and help evaluate emerging AI and cloud platform capabilities.
Minimum Job Qualifications (Knowledge, Skills, & Abilities)
10+ years of experience in Product Management, Platform Product Management, AI/ML Platforms, Cloud Platforms, or related technology leadership roles.
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent experience.
Experience defining and executing product strategy, roadmaps, and platform investment priorities.
Experience with Azure Machine Learning, Azure AI Foundry, MLOps platforms, or comparable cloud AI ecosystems.
Proven experience leading cross-functional initiatives involving product, engineering, data science, security, and business stakeholders.
Understanding of the AI lifecycle, including model training, evaluation, deployment, monitoring, governance, and optimization.
Experience measuring platform adoption through product metrics and customer outcomes.
Strong communication, stakeholder management, and executive presentation skills.
Business Experience
Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent combination of education and experience. Advanced degree preferred.
Typically requires 10+ more years of relevant professional experience, including leadership in product strategy and enterprise technology delivery. Less experience is accepted with relevant Master's or Doctorate qualifications.
Proven track record of translating business objectives into platform strategies and delivering solutions at scale.
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position
€82,500 - €137,500
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
